Evidence map›Paper›PMID 37268894›Full record

ArticleBMC genomics2023

Bioinformatics and experimental analyses of glutamate receptor and its targets genes in myocardial and cerebral ischemia.

Wei Liao, Chunming He, Shaochun Yang, Man Zhou, Chuan Zeng, Muyun Luo, Junjian Yu, Shuo Hu, Yanyu Duan, Ziyou Liu

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.3field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Wei LiaoMedical College of Soochow University, Suzhou, Jiangsu, China.
Chunming HeDepartment of Neurosurgery, First Affiliated of Gannan Medical University, Ganzhou, Jiangxi, China.
Shaochun YangDepartment of Neurosurgery, First Affiliated of Gannan Medical University, Ganzhou, Jiangxi, China.
Man ZhouGannan Medical University, Ganzhou, Jiangxi, China.
Chuan ZengGannan Medical University, Ganzhou, Jiangxi, China.
Muyun LuoDepartment of Neurosurgery, First Affiliated of Gannan Medical University, Ganzhou, Jiangxi, China.
Junjian YuKey Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou, Jiangxi, China.
Shuo HuKey Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou, Jiangxi, China.
Yanyu DuanKey Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou, Jiangxi, China.
Ziyou LiuMedical College of Soochow University, Suzhou, Jiangsu, China. ziyoudoc@126.com.
Gannan Medical University · CNFirst Affiliated Hospital of Gannan Medical University · CN

Funding

General science and technology projects of Jiangxi Provincial Health Commission No. 202210884Science and Technology Projects of Jiangxi Provincial Education Department GJ2201436the Leading Talents Project of Jiangxi Provincial Science and the Technology Department's Training Plan for Major Disciplines and Technical Leaders No. 20213BCJ0001the National Natural Science Foundation of China No. 81960326
6 · The paper itself

Abstract

backgroundThere is a mutual hemodynamic and pathophysiological basis between the heart and brain. Glutamate (GLU) signaling plays an important role in the process of myocardial ischemia (MI) and ischemic stroke (IS). To further explore the common protective mechanism after cardiac and cerebral ischemic injuries, the relationship between GLU receptor-related genes and MI and IS were analyzed.

resultsA total of 25 crosstalk genes were identified, which were mainly enriched in the Toll-like receptor signaling pathway, Th17 cell differentiation, and other signaling pathways. Protein-protein interaction analysis suggested that the top six genes with the most interactions with shared genes were IL6, TLR4, IL1B, SRC, TLR2, and CCL2. Immune infiltration analysis suggested that immune cells such as myeloid-derived suppressor cells and monocytes were highly expressed in the MI and IS data. Memory B cells and Th17 cells were expressed at low levels in the MI and IS data; molecular interaction network construction suggested that genes such as JUN, FOS, and PPARA were shared genes and transcription factors; FCGR2A was a shared gene of MI and IS as well as an immune gene. Least absolute shrinkage and selection operator logistic regression analysis identified nine hub genes: IL1B, FOS, JUN, FCGR2A, IL6, AKT1, DRD4, GLUD2, and SRC. Receiver operating characteristic analysis revealed that the area under the curve of these hub genes was > 65% in MI and IS for all seven genes except IL6 and DRD4. Furthermore, clinical blood samples and cellular models showed that the expression of relevant hub genes was consistent with the bioinformatics analysis.

conclusionsIn this study, we found that the GLU receptor-related genes IL1B, FOS, JUN, FCGR2A, and SRC were expressed in MI and IS with the same trend, which can be used to predict the occurrence of cardiac and cerebral ischemic diseases and provide reliable biomarkers to further explore the co-protective mechanism after cardiac and cerebral ischemic injury.

Indexed as

Brain IschemiaMyocardial IschemiaComputational BiologyHumansInterleukin-6MyocardiumInterleukin-6Bioinformatics analysisCombinational conservation of heart and brainGlutamate receptorIschemic strokeMyocardial ischemia

Identifiers

PMID37268894
PMCPMC10239159
OpenAlexW4379197509

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.